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adco

AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries

adpe

code for "AdPE: Adversarial Positional Embeddings for Pretraining Vision Transformers via MAE+"

aet

Auto-Encoding Transformations (AETv1), CVPR 2019

avt-pytorch

Autoencoding Variational Transformations (AVT) in pytorch, ICCV 2019

caco

CaCo: Both Positive and Negative Samples are Directly Learnable via Cooperative-adversarial Contrastive Learning

cappronet

This project is obsolete. New one is at https://github.com/maple-research-lab/CapProNet_tf.

cappronet-pytorch

Capsule Projection Networks (CapProNet) in pytorch, NeurIPS 2018

cappronet_pytorch

cappronet_tf

Capsule Projection Networks (CapProNet) in pytorch, NeurIPS 2018

clsa

official implemntation for "Contrastive Learning with Stronger Augmentations"

enaet

EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning

glsgan

Generalized Loss-Sensitive GAN in torch, IJCV

glsgan-gp

Generalized Loss-Sensitive Generative Adversarial Networks (GLS-GAN) in PyTorch with gradient penalty, including both LS-GAN and WGAN as special cases.

graph-ter

GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-wise Transformations, in Proceedings of IEEE/CVF Conferences on Computer Vision and Pattern Recognition (CVPR 2020)

lsal-blocks

Generalized Loss-Sensitive Adversarial Learning implemented in Blocks

lsal-torch

Generalized Loss-Sensitive Adversarial Learning in torch

lsgan

Loss-Sensitive Generative Adversarial Networks (LS-GAN) in torch, IJCV

lsgan-gp-alt

Loss-Sensitive GAN with gradient penalty in tensorflow

sfm

State-Frequency Memory Recurrent Neural Networks, ICML 2017

trgan

Transformation GAN for Unsupervised Image Synthesis and Representation Learning, in Proceedings of IEEE/CVF Conferences on Computer Vision and Pattern Recognition (CVPR 2020)

wcp

Source code for "WCP: Worst-Case Perturbations for Semi-Supervised Deep Learning" in CPVR 2020.